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‫Another type of database we have

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‫on AWS is Amazon EMR, and EMR stands for Elastic MapReduce.

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‫So EMR is actually not really a database.

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‫It's to create what's called a Hadoop cluster

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‫when you wanna do big data on AWS,

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‫and a Hadoop cluster is used to analyze

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‫and process vast amount of data.

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‫So Hadoop is an open source technology,

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‫and they allow multiple servers that work in a cluster

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‫to analyze the data together, and so when you're using EMR,

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‫you can create a cluster made of hundreds of EC2 instances

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‫that will be collaborating together to analyze your data.

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‫So part of the Hadoop ecosystem, the Big Data ecosystem,

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‫you will see projects names such as Apache Spark, HBase,

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‫Presto, and Flink, and all these things

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‫will be working on top of your Hadoop cluster.

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‫So what is EMR then?

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‫Well, EMR takes care of provisioning all these EC2 instances

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‫and configuring them so that they work together

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‫and can analyze together data from a big data perspective.

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‫Finally, it has auto-scaling

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‫and it is integrated with Spot instances,

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‫and the use cases for EMR will be data processing,

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‫machine learning, web indexing, or big data in general.

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‫So from an exam perspective,

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‫any time you see Hadoop cluster,

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‫think no more, it's going to be Amazon EMR.

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‫That's it, I hope that was helpful,

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‫and I will see you in the next lecture.